ai-assisted-coding-governance AGENTS.md

ai-assisted-coding-governance AGENTS.md is an instructions file for Codex, OpenCode from oakandfeather/ai-assisted-coding-governance. It costs 10,238 tokens per session, scanned A, original, MIT.

Repository instructions for an AI-assisted coding governance project, including mandatory rules and separate guidance for writing and coding tasks.

In plain words
What is it for?
Guiding agents that edit documentation, write code, or work with the project’s governance files and scripts.
Why use it?
They tell coding agents which rules to read before working and how to handle safety, correctness, citations, confidentiality, and testing. This gives the repository a consistent operating process.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/oakandfeather/ai-assisted-coding-governance/agents-md
Clone the repo
git clone --depth 1 https://github.com/oakandfeather/ai-assisted-coding-governance

Made for: Codex, OpenCode.

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README.md
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Per session 10,238 This file is loaded in full into every session.
When invoked 10,238 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.10238 $0.10238
Opus 5 $0.05119 $0.05119
Sonnet 5 $0.02048 $0.02048
Haiku 4.5 $0.01024 $0.01024

Measured yesterday against content hash c1840cd4401e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

ai-assisted-coding-governance AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Version: 1.32 · Last reviewed: 2026-09-01 · Active client: none (internal repository)

Guidance for AI agents working in this repository — the source repo for the AI-assisted coding governance package. This repo applies its own rules to itself.

⚠️ Mandatory rules

Before any task, read and follow core-rules.md — the non-negotiable base that applies to every task (secrets, data, correctness, licensing, provenance, safe agentic actions, compliance, stop-and-ask, client overrides). Then read the module for your task: writing-rules.md before producing or editing documents and content — including documentation about code, such as READMEs, API references, and runbooks (factual grounding, citations, confidentiality, voice fidelity, accessible documents, verified documentation) — the module that applies to nearly everything here, since this repository is Markdown — and coding-rules.md before writing, editing, or running code (dependencies, security, testing, accessibility), which covers the PowerShell scripts in scripts/. If anything below conflicts with these, the stricter rule wins. Load them in one pass before you start reading this repository's code or content — not after you have picked an approach. For a non-trivial task that means core-rules.md, the task module above, the active client's profile (below — none in this repo), and the matching craft companion — writing-patterns.md for content, coding-patterns.md for code; scale that set to the blast radius the way core-rules.md's own checklist does — a typo doesn't earn four files. A rule reached after the work is shaped is too late to shape it. Load means open the file with your file-reading tool — a link you have not opened has not loaded.

Work the way agent-workflow.md describes (work loop, ask-vs-proceed-vs-object boundary, verification, structured hand-off, bounded iteration and adversarial self-review, economy of effort, subagent delegation). Read writing-patterns.md before writing or editing a non-trivial document — which is most work here — and coding-patterns.md before writing or editing non-trivial code; apply their quality patterns. Where craft meets safety, safety and correctness win.

Read the full file on GitHub · 214 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday Changed · +2 lines · +191 tokens per session c1840cd4401e
  2. 5d ago First seen · 212 lines · 10,047 tokens per session scan A 31c258dfbb29

Subscribe to this mod's changes

ai-assisted-coding-governance AGENTS.md is an instructions file published in the GitHub repository oakandfeather/ai-assisted-coding-governance (2 stars, last pushed 3d ago), licensed MIT. It adds 10,238 tokens to every session, about $0.0512 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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